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pro vyhledávání: '"Kass, Robert E."'
An important outstanding problem in analysis of neural data is to characterize interactions across brain regions from high-dimensional multiple-electrode recordings during a behavioral experiment. A leading theory, based on a considerable body of res
Externí odkaz:
http://arxiv.org/abs/2105.03508
Because local field potentials (LFPs) arise from multiple sources in different spatial locations, they do not easily reveal coordinated activity across neural populations on a trial-to-trial basis. As we show here, however, once disparate source sign
Externí odkaz:
http://arxiv.org/abs/2104.10070
Autor:
Brown, D. Andrew1 ab7@clemson.edu
Publikováno v:
Biometrics. Jun2017, Vol. 73 Issue 2, p710-713. 8p.
Angular measurements are often modeled as circular random variables, where there are natural circular analogues of moments, including correlation. Because a product of circles is a torus, a d-dimensional vector of circular random variables lies on a
Externí odkaz:
http://arxiv.org/abs/1910.11044
The problem of large scale multiple testing arises in many contexts, including testing for pairwise interaction among large numbers of neurons. With advances in technologies, it has become common to record from hundreds of neurons simultaneously, and
Externí odkaz:
http://arxiv.org/abs/1702.05546
Akademický článek
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Publikováno v:
The Annals of Applied Statistics, 2020 Jun 01. 14(2), 635-660.
Externí odkaz:
https://www.jstor.org/stable/27119657
Autor:
Zhou, Pengcheng, Resendez, Shanna L., Rodriguez-Romaguera, Jose, Jimenez, Jessica C., Neufeld, Shay Q., Stuber, Garret D., Hen, Rene, Kheirbek, Mazen A., Sabatini, Bernardo L., Kass, Robert E., Paninski, Liam
In vivo calcium imaging through microscopes has enabled deep brain imaging of previously inaccessible neuronal populations within the brains of freely moving subjects. However, microendoscopic data suffer from high levels of background fluorescence a
Externí odkaz:
http://arxiv.org/abs/1605.07266
Magnetoencephalography (MEG) has a high temporal resolution well-suited for studying perceptual learning. However, to identify where learning happens in the brain, one needs to ap- ply source localization techniques to project MEG sensor data into br
Externí odkaz:
http://arxiv.org/abs/1512.00899